Supabase ranks higher at 42/100 vs @gleanwork/mcp-server-utils at 21/100. Capability-level comparison backed by match graph evidence from real search data.
| Feature | @gleanwork/mcp-server-utils | Supabase |
|---|---|---|
| Type | Framework | MCP Server |
| UnfragileRank | 21/100 | 42/100 |
| Adoption | 0 | 0 |
| Quality | 0 |
| 0 |
| Ecosystem | 0 | 0 |
| Match Graph | 0 | 0 |
| Pricing | Free | Free |
| Capabilities | 6 decomposed | 9 decomposed |
| Times Matched | 0 | 0 |
Provides standardized initialization, configuration, and shutdown patterns for MCP server implementations. Abstracts common server setup tasks including resource initialization, error handling, and graceful termination, reducing boilerplate across multiple MCP server packages. Works by exposing utility functions that wrap the MCP protocol's server lifecycle hooks and provide consistent patterns for state management.
Unique: Provides shared, reusable MCP server initialization patterns specifically designed for the MCP protocol ecosystem, reducing duplication across multiple server implementations from the same organization
vs alternatives: Eliminates boilerplate across multiple MCP servers better than building each server independently, though less feature-rich than full MCP frameworks like Cline or Zed
Validates and registers MCP tool and resource definitions against the MCP protocol schema, ensuring type safety and protocol compliance before server startup. Implements schema validation using JSON Schema or similar mechanisms to catch configuration errors early, and provides a registry pattern for managing multiple tools/resources within a single server instance.
Unique: Provides MCP-specific schema validation and registration patterns that enforce protocol compliance at server initialization time, catching configuration errors before they reach clients
vs alternatives: More targeted for MCP protocol specifics than generic schema validators, enabling earlier error detection than runtime validation approaches
Provides consistent error handling middleware and structured logging utilities for MCP servers, including error serialization, context propagation, and protocol-compliant error responses. Implements patterns for capturing request context, formatting errors according to MCP protocol specifications, and routing logs to appropriate destinations with configurable verbosity levels.
Unique: Provides MCP-aware error handling that understands the protocol's error response format and automatically serializes errors in compliance with MCP specifications
vs alternatives: More specialized for MCP protocol error semantics than generic logging libraries, reducing manual error response formatting
Implements a composable middleware pattern for intercepting and transforming MCP requests and responses, enabling cross-cutting concerns like authentication, rate limiting, request validation, and response transformation. Works by providing a middleware registration API that chains handlers in order, with each handler able to inspect, modify, or reject requests/responses before passing to the next handler.
Unique: Provides a composable middleware pipeline specifically designed for MCP request/response handling, allowing developers to implement cross-cutting concerns without modifying individual tool handlers
vs alternatives: More flexible than hardcoded authentication/validation logic, though requires more setup than built-in framework features
Provides a fluent API for constructing type-safe MCP tool definitions with input schema validation, parameter type checking, and IDE autocomplete support. Uses TypeScript generics and builder patterns to ensure tool definitions are validated at compile-time and runtime, reducing errors from schema mismatches between tool definition and implementation.
Unique: Combines TypeScript generics with a fluent builder API to provide compile-time type checking of MCP tool definitions, catching schema mismatches before runtime
vs alternatives: Provides better type safety than manual schema definition, though requires TypeScript knowledge and adds build-time overhead
Provides utilities for managing MCP resource lifecycle, including resource discovery, lazy loading, and caching strategies to reduce redundant operations. Implements patterns for registering resource providers, managing resource state, and invalidating caches based on time or event triggers, enabling efficient resource serving without repeated expensive operations.
Unique: Provides MCP-specific resource caching and lifecycle management that integrates with the MCP protocol's resource serving model, enabling efficient resource operations
vs alternatives: More tailored to MCP resource patterns than generic caching libraries, though less feature-rich than dedicated caching systems
Executes SQL queries against Supabase PostgreSQL instances through the Model Context Protocol, translating natural language or structured query requests into parameterized SQL statements. Uses MCP's tool-calling interface to expose database operations as callable functions with schema validation, enabling LLM agents to perform CRUD operations, joins, and aggregations with automatic connection pooling and credential management through Supabase client SDK.
Unique: Exposes Supabase PostgreSQL as MCP tools with automatic credential injection from Supabase client SDK, eliminating manual connection string management and enabling seamless LLM-to-database queries within Claude or compatible agents
vs alternatives: Tighter integration than generic SQL MCP servers because it leverages Supabase's built-in authentication and connection pooling rather than requiring separate database credential configuration
Exposes Supabase Auth session state and user metadata through MCP tools, allowing agents to inspect current authentication context, retrieve user profiles, and trigger auth-related operations. Integrates with Supabase's JWT-based auth system to validate sessions and access user claims without re-authenticating, using the Supabase client's built-in session management.
Unique: Integrates Supabase's JWT-based auth system directly into MCP tool interface, allowing agents to inspect and act on auth state without managing separate credential stores or re-authentication flows
vs alternatives: More seamless than generic auth MCP servers because it leverages Supabase's built-in session management and avoids redundant credential passing between agent and auth system
Invokes Supabase Edge Functions (serverless TypeScript/JavaScript functions) through MCP tools, passing parameters and receiving results with optional streaming support. Uses Supabase's edge function HTTP API to trigger functions with automatic authentication headers and response parsing, enabling agents to execute custom business logic without embedding it in the agent itself.
Supabase scores higher at 42/100 vs @gleanwork/mcp-server-utils at 21/100. @gleanwork/mcp-server-utils leads on ecosystem, while Supabase is stronger on quality.
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Unique: Exposes Supabase Edge Functions as MCP tools with automatic authentication and response parsing, allowing agents to invoke custom serverless logic without managing HTTP clients or credential injection
vs alternatives: More integrated than generic HTTP MCP tools because it handles Supabase-specific authentication, error handling, and response formatting automatically
Subscribes to real-time changes on Supabase tables through MCP's event streaming interface, using Supabase's PostgreSQL LISTEN/NOTIFY mechanism to push INSERT, UPDATE, and DELETE events to agents. Maintains persistent WebSocket connections and filters events by table and row-level policies, enabling agents to react to database changes without polling.
Unique: Bridges Supabase's PostgreSQL LISTEN/NOTIFY real-time system with MCP's tool interface, enabling agents to subscribe to database changes without managing WebSocket connections or event serialization
vs alternatives: More efficient than polling-based approaches because it uses Supabase's native real-time infrastructure rather than repeated database queries
Manages files in Supabase Storage buckets through MCP tools, supporting upload, download, list, and delete operations with automatic authentication and path-based access control. Uses Supabase's S3-compatible storage API with built-in support for public/private buckets and signed URLs for temporary access, enabling agents to handle file I/O without managing cloud storage credentials.
Unique: Exposes Supabase Storage's S3-compatible API as MCP tools with automatic authentication and signed URL generation, eliminating the need for agents to manage cloud storage credentials or generate temporary access tokens
vs alternatives: More integrated than generic S3 MCP tools because it leverages Supabase's built-in bucket policies and authentication rather than requiring separate AWS credentials
Performs semantic similarity searches on vector embeddings stored in Supabase PostgreSQL using pgvector extension, translating natural language queries into embedding vectors and executing cosine/L2 distance searches. Integrates with embedding providers (OpenAI, Cohere) or uses pre-computed embeddings, enabling agents to retrieve semantically similar documents or records without full-text search limitations.
Unique: Integrates pgvector directly into MCP tools with automatic embedding generation and distance calculation, enabling agents to perform semantic search without managing separate vector database infrastructure
vs alternatives: More efficient than external vector databases (Pinecone, Weaviate) for Supabase users because it colocates embeddings with relational data, reducing network latency and simplifying data synchronization
Exposes Supabase database schema information through MCP tools, allowing agents to discover table structures, column types, constraints, and relationships without manual schema documentation. Queries PostgreSQL information_schema and Supabase metadata tables to dynamically generate schema descriptions, enabling agents to construct valid queries and understand data relationships.
Unique: Queries Supabase's PostgreSQL information_schema directly through MCP tools, enabling agents to dynamically discover and adapt to database schemas without pre-configured schema definitions
vs alternatives: More flexible than static schema definitions because it reflects live database state, including recent migrations or schema changes
Enforces Supabase Row-Level Security policies within agent queries, ensuring that agents can only access rows permitted by RLS rules defined in the database. Evaluates policies based on authenticated user context (JWT claims, user ID) and applies WHERE clause filters automatically, preventing unauthorized data access at the database layer rather than application layer.
Unique: Delegates authorization enforcement to PostgreSQL RLS policies rather than implementing authorization in agent code, ensuring that data access rules are centralized and cannot be bypassed by agent logic
vs alternatives: More secure than application-level authorization because RLS is enforced at the database layer, preventing accidental data leaks even if agent code has bugs
+1 more capabilities